This paper uses aggregate-level data, as well as case-studies, to trace the evolution of some key structural features of the Indian economy, relating both to the agricultural and the informal industrial sector. These aggregate trends are used to infer: (a) the dominant relations of production under which the vast majority of the Indian working people labour, and (b) the predominant ways in whic...

Many aspects of the data integration problem have been considered in the literature: how to match schemas across different data sources, how to decide when different records refer to the same entity, how to efficiently perform the required entity resolution in a batch fashion, and so on. However, what has largely been ignored is a way to efficiently deploy these existing methods in a realistic,...

In this paper, we consider a typical voting situation where a group of agents show their preferences over a set of alternatives. Under our approach, such preferences are codified into individual positional values which can be aggregated in several ways through particular functions, yielding positional voting rules and providing a social result in each case. We show that scoring rules belong to ...

Wireless sensor networks have been widely used in many applications, such as soil temperature monitoring for plant growth and abnormal event detection of industrial parameters. Among these applications, aggregate queries, such as SUM, COUNT, AVERAGE, MIN and MAX are often used to collect statistical data. Due to the low quality sensing devices or random environmental disturbances, sensor data a...

The accuracy of maps based on aggregate data is dependent upon (a) the extent to which aggregate values calculated for each enumeration unit are representative of the entire unit and, (b) the data classification system used to assign these values to classes. Size and compactness of these units as well as the variability of the distribution mapped are important factors in determining the accurac...